Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
1999-10-01 09:40:13	ga_ls7e_ard_3-0-0_095074_1999-10-01_final
2001-02-08 09:40:48	ga_ls7e_ard_3-0-0_095082_2001-02-08_final
2002-11-10 09:32:17	ga_ls7e_ard_3-0-0_095067_2002-11-10_final
2003-08-09 09:38:23	ga_ls7e_ard_3-0-0_095081_2003-08-09_final
2003-08-25 09:35:11	ga_ls7e_ard_3-1-0_095073_2003-08-25_final
2003-12-31 09:40:54	ga_ls7e_ard_3-0-0_095086_2003-12-31_final
2004-02-01 09:39:52	ga_ls7e_ard_3-0-0_095083_2004-02-01_final
2004-04-01 11:41:16	ga_ls7e_ard_3-1-0_115077_2004-04-01_final
2004-09-12 09:38:39	ga_ls7e_ard_3-0-0_095081_2004-09-12_final
2005-06-27 09:37:48	ga_ls7e_ard_3-0-0_095077_2005-06-27_final
2005-08-30 09:39:13	ga_ls7e_ard_3-0-0_095081_2005-08-30_final
2005-10-13 11:41:53	ga_ls7e_ard_3-0-0_115079_2005-10-13_final
2006-07-12 11:41:49	ga_ls7e_ard_3-1-0_115077_2006-07-12_final
2006-08-01 09:37:17	ga_ls7e_ard_3-0-0_095075_2006-08-01_final
2007-01-20 11:42:15	ga_ls7e_ard_3-1-0_115077_2007-01-20_final
2007-04-14 09:41:42	ga_ls7e_ard_3-0-0_095084_2007-04-14_final
2007-06-01 09:40:15	ga_ls7e_ard_3-0-0_095081_2007-06-01_final
2007-08-04 09:40:30	ga_ls7e_ard_3-0-0_095082_2007-08-04_final
2007-11-24 09:39:47	ga_ls7e_ard_3-0-0_095080_2007-11-24_final
2007-12-26 09:39:56	ga_ls7e_ard_3-0-0_095080_2007-12-26_final
2008-02-28 09:41:48	ga_ls7e_ard_3-0-0_095085_2008-02-28_final
2008-03-15 09:42:07	ga_ls7e_ard_3-0-0_095086_2008-03-15_final
2008-10-25 09:41:14	ga_ls7e_ard_3-0-0_095087_2008-10-25_final
2009-07-08 09:41:57	ga_ls7e_ard_3-0-0_095085_2009-07-08_final
2010-06-30 11:39:37	ga_ls7e_ard_3-0-0_114081_2010-06-30_final
2010-07-27 09:43:25	ga_ls7e_ard_3-0-0_095084_2010-07-27_final
2010-07-27 09:44:37	ga_ls7e_ard_3-0-0_095087_2010-07-27_final
2011-03-08 09:41:09	ga_ls7e_ard_3-0-0_095075_2011-03-08_final
2011-03-20 11:45:34	ga_ls7e_ard_3-1-0_115077_2011-03-20_final
2011-06-08 11:45:36	ga_ls7e_ard_3-0-0_115077_2011-06-08_final
2011-06-08 11:46:00	ga_ls7e_ard_3-0-0_115078_2011-06-08_final
2012-03-06 11:46:54	ga_ls7e_ard_3-0-0_115079_2012-03-06_final
2013-10-23 09:46:27	ga_ls7e_ard_3-0-0_095082_2013-10-23_final
2014-08-23 09:48:01	ga_ls7e_ard_3-0-0_095082_2014-08-23_final
2015-03-19 09:43:25	ga_ls7e_ard_3-0-0_095067_2015-03-19_final
2015-12-16 09:53:35	ga_ls7e_ard_3-0-0_095087_2015-12-16_final
2016-01-17 09:53:39	ga_ls7e_ard_3-0-0_095086_2016-01-17_final
2016-02-02 09:46:13	ga_ls7e_ard_3-0-0_095067_2016-02-02_final
2016-04-06 09:52:34	ga_ls7e_ard_3-0-0_095082_2016-04-06_final
2016-07-11 09:52:57	ga_ls7e_ard_3-0-0_095082_2016-07-11_final
2017-08-15 09:53:24	ga_ls7e_ard_3-0-0_095083_2017-08-15_final
2017-12-21 09:53:54	ga_ls7e_ard_3-0-0_095085_2017-12-21_final
2018-01-06 09:49:42	ga_ls7e_ard_3-0-0_095075_2018-01-06_final
2018-02-07 09:53:35	ga_ls7e_ard_3-0-0_095086_2018-02-07_final
2018-05-30 09:51:11	ga_ls7e_ard_3-0-0_095084_2018-05-30_final
2018-07-01 09:50:12	ga_ls7e_ard_3-0-0_095083_2018-07-01_final
2019-02-10 09:45:34	ga_ls7e_ard_3-0-0_095085_2019-02-10_final
2019-07-20 09:40:40	ga_ls7e_ard_3-0-0_095087_2019-07-20_final
2019-09-06 09:37:04	ga_ls7e_ard_3-1-0_095083_2019-09-06_final
2020-01-28 09:29:33	ga_ls7e_ard_3-1-0_095081_2020-01-27_final
2020-04-17 09:26:00	ga_ls7e_ard_3-1-0_095083_2020-04-16_final
2020-05-03 09:24:39	ga_ls7e_ard_3-1-0_095082_2020-05-02_final
2020-07-27 11:16:09	ga_ls7e_ard_3-1-0_114080_2020-07-27_final
2021-03-10 10:49:19	ga_ls7e_ard_3-2-0_112083_2021-03-10_final
2021-03-16 10:11:22	ga_ls7e_ard_3-2-0_106082_2021-03-16_final
2021-04-24 08:34:15	ga_ls7e_ard_3-2-0_091079_2021-04-23_final
2021-04-24 08:34:39	ga_ls7e_ard_3-2-0_091080_2021-04-23_final
2021-05-01 10:16:19	ga_ls7e_ard_3-2-0_108073_2021-05-01_final
2021-05-07 09:38:21	ga_ls7e_ard_3-2-0_102072_2021-05-07_final
2021-05-10 10:11:23	ga_ls7e_ard_3-2-0_107078_2021-05-10_final
2021-05-11 09:14:53	ga_ls7e_ard_3-2-0_098076_2021-05-10_final
2021-05-15 08:54:13	ga_ls7e_ard_3-2-0_094087_2021-05-14_final
2021-05-17 08:37:18	ga_ls7e_ard_3-2-0_092076_2021-05-16_final
2021-05-27 10:51:36	ga_ls7e_ard_3-2-0_114074_2021-05-27_final
2021-05-31 10:28:32	ga_ls7e_ard_3-2-0_110079_2021-05-31_final
2021-06-02 10:18:00	ga_ls7e_ard_3-2-0_108084_2021-06-02_final
2021-06-12 09:14:12	ga_ls7e_ard_3-2-0_098081_2021-06-11_final
2021-06-16 10:24:02	ga_ls7e_ard_3-2-0_110071_2021-06-16_final
2021-06-21 10:45:45	ga_ls7e_ard_3-2-0_113080_2021-06-21_final
2021-07-15 09:49:54	ga_ls7e_ard_3-2-0_105069_2021-07-15_final
2021-07-22 08:22:35	ga_ls7e_ard_3-2-0_090084_2021-07-21_final
2021-07-23 10:42:39	ga_ls7e_ard_3-2-0_113079_2021-07-23_final
2021-07-25 08:53:38	ga_ls7e_ard_3-2-0_095085_2021-07-24_final
2021-07-30 09:08:08	ga_ls7e_ard_3-2-0_098076_2021-07-29_final
2021-08-09 09:42:20	ga_ls7e_ard_3-2-0_104071_2021-08-09_final
2021-08-11 09:31:24	ga_ls7e_ard_3-2-0_102075_2021-08-11_final
2021-08-13 09:21:15	ga_ls7e_ard_3-2-0_100081_2021-08-12_final
2021-08-16 09:50:17	ga_ls7e_ard_3-2-0_105077_2021-08-16_final
2021-08-24 10:35:03	ga_ls7e_ard_3-2-0_113067_2021-08-24_final
2021-08-25 09:42:56	ga_ls7e_ard_3-2-0_104076_2021-08-25_final
2021-08-28 08:36:17	ga_ls7e_ard_3-2-0_093080_2021-08-27_final
2021-09-09 09:01:34	ga_ls7e_ard_3-2-0_097084_2021-09-08_final
2021-09-12 09:27:00	ga_ls7e_ard_3-2-0_102071_2021-09-11_final
2021-09-20 10:16:08	ga_ls7e_ard_3-2-0_110072_2021-09-20_final
2021-09-27 10:19:41	ga_ls7e_ard_3-2-0_111067_2021-09-27_final
2021-10-03 08:09:35	ga_ls7e_ard_3-2-0_089083_2021-10-02_final
2021-10-07 09:20:36	ga_ls7e_ard_3-2-0_101076_2021-10-06_final
2021-10-13 10:21:28	ga_ls7e_ard_3-2-0_111075_2021-10-13_final
2021-10-31 10:05:29	ga_ls7e_ard_3-2-0_109070_2021-10-31_final
2021-11-08 09:16:05	ga_ls7e_ard_3-2-0_101072_2021-11-07_final
2021-11-17 09:09:49	ga_ls7e_ard_3-2-1_100074_2021-11-16_final
2021-12-21 10:34:41	ga_ls7e_ard_3-2-1_114078_2021-12-21_final
2021-12-27 08:21:20	ga_ls7e_ard_3-2-1_092086_2021-12-26_final
2022-01-03 09:59:17	ga_ls7e_ard_3-2-1_109070_2022-01-03_final
2022-01-10 10:09:36	ga_ls7e_ard_3-2-1_110082_2022-01-10_final
2022-01-12 08:15:46	ga_ls7e_ard_3-2-1_092076_2022-01-11_final
2022-02-02 08:31:53	ga_ls7e_ard_3-2-1_095075_2022-02-01_final
2022-02-06 08:10:44	ga_ls7e_ard_3-2-1_091085_2022-02-05_final
2022-02-07 10:29:35	ga_ls7e_ard_3-2-1_114077_2022-02-07_final
2022-03-21 09:20:26	ga_ls7e_ard_3-2-1_104069_2022-03-20_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years